Transfer meta-learning: Information-theoretic bounds and information meta-risk minimization

ST Jose, O Simeone, G Durisi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …
被引用次数：24 相关文章

Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - IEEE Transactions on Information Theory, 2022 - dl.acm.org
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …
[PDF] bham.ac.uk

[PDF][PDF] Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - IEEE TRANSACTIONS ON …, 2022 - pure-oai.bham.ac.uk
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …

Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …

Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - IEEE Transactions on …, 2022 - researchwith.njit.edu
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …

Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - arXiv preprint arXiv:2011.02872, 2020 - arxiv.org
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …
[PDF] kcl.ac.uk

[PDF][PDF] Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - arXiv preprint arXiv:2011.02872, 2020 - kclpure.kcl.ac.uk
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …
[PDF] researchgate.net

[PDF][PDF] Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - researchgate.net
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …
[PDF] birmingham.ac.uk

[PDF][PDF] Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - IEEE …, 2022 - research.birmingham.ac.uk
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …
[PDF] kcl.ac.uk

[PDF][PDF] Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

ST Jose, O Simeone, G Durisi - kclpure.kcl.ac.uk
Meta-learning automatically infers an inductive bias by observing data from a number of
related tasks. The inductive bias is encoded by hyperparameters that determine aspects of …